• Are you familiar with machine learning concepts and programming?
• Are you interested in obtaining hand-on practice in computation fluid dynamics for reactive flows?
• Are you passionate about application of machine learning in computational fluid dynamics?

• Master’s degree in physics, mechanical engineering, aerospace engineering, computer science or a closely related field. If you don’t have your Master’s degree yet, you may also start a research assistant
• Strong interest in fluids physics, modeling, and numerical simulation
• Experience in programming e.g.in Python or C++ and ability to work in Linux environment
• Academic background in machine learning techniques
• Basic knowledge in computational fluid dynamics
• Demonstrated academic excellence in previous studies

• Experience with using/programming in Open FOAM
• Knowledge on advanced data analysis tools

• A one-page motivation letter detailing 10 most important and concrete aspects (e.g. most relevant courses and grades, software skills, M.Sc. education, publications, etc) that would support selecting you
• Your CV
• Your study certificates on Master’s and Bachelor’s degrees
• Your study records from Master’s and Bachelor’s degrees
• A copy of your Master’s thesis and most important publications (if any)
• Contact details of at least two referees